Intelligent Fault Diagnosis Framework for Modular Multilevel Converters in HVDC Transmission.

Ahmed, Hosameldin O A; Yu, Yuexiao; Wang, Qinghua; Darwish, Mohamed; Nandi, Asoke K

Ahmed, Hosameldin O A; Yu, Yuexiao; Wang, Qinghua; Darwish, Mohamed; Nandi, Asoke K.

Afiliação

Ahmed HOA; Department of Electronic and Electrical Engineering, Brunel University London, Uxbridge UB8 3PH, UK.
Yu Y; Department of Electronic and Electrical Engineering, Brunel University London, Uxbridge UB8 3PH, UK.
Wang Q; State Grid Sichuan Electric Power Research Institute of China, Chengdu 610094, China.
Darwish M; Department of Electronic and Electrical Engineering, Brunel University London, Uxbridge UB8 3PH, UK.
Nandi AK; School of Mechatronic Engineering, Xi'an Technological University, Xi'an 710021, China.

Sensors (Basel) ; 22(1)2022 Jan 04.

Article em En | MEDLINE | ID: mdl-35009901

Assuntos

Inteligência Artificial; Máquina de Vetores de Suporte; Algoritmos; Simulação por Computador; Análise de Componente Principal

Palavras-chave

MMC-HVDC; fault classification; fault detection; multiclass support vector machine (SVM); multinomial logistic regression (MLR); principal component analysis (PCA)

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Máquina de Vetores de Suporte Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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